C3 IDS delivers an improved developer experience through a
low-code/no-code environment that accelerates developer velocity, an
important capability for building complex enterprise-scale applications
on the C3 AI Suite. C3 customers have already built end-to-end
applications for a wide range of use cases on C3 IDS, including
predictive maintenance and yield optimization. Based on recent analysis
by an independent system integrator, building an application on the C3
AI Suite is at least 25x faster—and is typically 50x to 100x faster—than
using existing cloud microservices.

“With C3 IDS, we rapidly developed and deployed a predictive maintenance
AI application into production,” said Ryan Gross, a leader in the
Machine Learning practice at strategic services and information
technology consulting company Pariveda Solutions. “The low-code/no-code
environment provided well-integrated solutions for many of the problems
we have spent great time and effort to solve in the past, from data
integration and data modeling to machine learning and application
development. Developing and deploying this application in a week would
have been impossible without C3 IDS.”

First-of-Its-Kind AI Application Development Platform

C3 IDS allows developers and data scientists to focus on solving
business problems by providing a single integrated environment that
abstracts routine and complex application development tasks, through
four environments:

C3 IDS is fully integrated with the C3 AI Suite, allowing users of this
low-code/no-code environment to collaborate seamlessly with users who
prefer writing code.

“C3 has invested $500 million over the past nine years in building the
C3 AI Suite, simplifying the ability to develop AI-based applications
and reducing the underlying complexities,” said Ed Abbo, C3 president
and chief technology officer. “Using the C3 AI Suite, a small team of
developers and data scientists can build complex AI applications and
roll out large-scale systems with efficiency and accuracy in just
months. With C3 IDS, we have taken another step to speed the delivery
and economic value of enterprise AI.”